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Groner, Maya L; Burge, Colleen A; Cox, Ruth; Rivlin, Natalie D; Turner, Mo; Van Alstyne, Kathryn L; Wyllie‐Echeverria, Sandy; Bucci, John; Staudigel, Philip; Friedman, Carolyn S (2018): Seawater carbonate chemistry and the health and growth of eelgrass and the mass of oysters [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.920039

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Abstract:
Climate change is affecting the health and physiology of marine organisms and altering species interactions. Ocean acidification (OA) threatens calcifying organisms such as the Pacific oyster, Crassostrea gigas. In contrast, seagrasses, such as the eelgrass Zostera marina, can benefit from the increase in available carbon for photosynthesis found at a lower seawater pH. Seagrasses can remove dissolved inorganic carbon from OA environments, creating local daytime pH refugia. Pacific oysters may improve the health of eelgrass by filtering out pathogens such as Labyrinthula zosterae (LZ), which causes eelgrass wasting disease (EWD). We examined how co-culture of eelgrass ramets and juvenile oysters affected the health and growth of eelgrass and the mass of oysters under different pCO(2) exposures. In Phase I, each species was cultured alone or in co-culture at 12 degrees C across ambient, medium, and high pCO(2) conditions, (656, 1,158 and 1,606 mu atm pCO(2), respectively). Under high pCO(2), eelgrass grew faster and had less severe EWD (contracted in the field prior to the experiment). Co-culture with oysters also reduced the severity of EWD. While the presence of eelgrass decreased daytime pCO(2), this reduction was not substantial enough to ameliorate the negative impact of high pCO(2) on oyster mass. In Phase II, eelgrass alone or oysters and eelgrass in co-culture were held at 15 degrees C under ambient and high pCO(2) conditions, (488 and 2,013atm pCO(2), respectively). Half of the replicates were challenged with cultured LZ. Concentrations of defensive compounds in eelgrass (total phenolics and tannins), were altered by LZ exposure and pCO(2) treatments. Greater pathogen loads and increased EWD severity were detected in LZ exposed eelgrass ramets; EWD severity was reduced at high relative to low pCO(2). Oyster presence did not influence pathogen load or EWD severity; high LZ concentrations in experimental treatments may have masked the effect of this treatment. Collectively, these results indicate that, when exposed to natural concentrations of LZ under high pCO(2) conditions, eelgrass can benefit from co-culture with oysters. Further experimentation is necessary to quantify how oysters may benefit from co-culture with eelgrass, examine these interactions in the field and quantify context-dependency.
Keyword(s):
Animalia; Benthic animals; Benthos; Bottles or small containers/Aquaria (<20 L); Coast and continental shelf; Crassostrea gigas; Growth/Morphology; Laboratory experiment; Macroalgae; Mollusca; North Pacific; Other; Other studied parameter or process; Plantae; Species interaction; Temperate; Tracheophyta; Zostera marina
Supplement to:
Groner, Maya L; Burge, Colleen A; Cox, Ruth; Rivlin, Natalie D; Turner, Mo; Van Alstyne, Kathryn L; Wyllie‐Echeverria, Sandy; Bucci, John; Staudigel, Philip; Friedman, Carolyn S (2018): Oysters and eelgrass potential partners in a high pCO2 ocean. Ecology, 99(8), 1802-1814, https://doi.org/10.1002/ecy.2393
Original version:
Groner, Maya L; Burge, Colleen A; Cox, Ruth; Rivlin, Natalie D; Turner, Mo; Van Alstyne, Kathryn L; Wyllie-Echeverria, S; Bucci, John; Friedman, Carolyn S; Staudigal, Philip (2018): Data and statistical code associated with Oysters and eelgrass: Potential partners in a high pCO2 ocean. Figshare, https://doi.org/10.6084/m9.figshare.6182522
Further details:
Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloïse; Orr, James C; Gentili, Bernard; Hagens, Mathilde; Hofmann, Andreas; Mueller, Jens-Daniel; Proye, Aurélien; Rae, James; Soetaert, Karline (2019): seacarb: seawater carbonate chemistry with R. R package version 3.2.12. https://CRAN.R-project.org/package=seacarb
Coverage:
Latitude: 48.691000 * Longitude: -122.952000
Date/Time Start: 2014-08-21T00:00:00 * Date/Time End: 2014-08-21T00:00:00
Event(s):
Orcas_Island * Latitude: 48.691000 * Longitude: -122.952000 * Date/Time: 2014-08-21T00:00:00 * Method/Device: Experiment (EXP)
Comment:
In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2019) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2020-07-07.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1TypeTypeGroner, Maya Lstudy
2SpeciesSpeciesGroner, Maya L
3Registration number of speciesReg spec noGroner, Maya L
4Uniform resource locator/link to referenceURL refGroner, Maya LWoRMS Aphia ID
5PhasePhaseGroner, Maya L
6TreatmentTreatGroner, Maya LpCO2
7IdentificationIDGroner, Maya LCooler
8IdentificationIDGroner, Maya L
9pHpHGroner, Maya LDay
10pHpHGroner, Maya LIn
11pH changeD pHGroner, Maya LChange
12Disease severityDisease sevGroner, Maya L
13GrowthGrowthmmGroner, Maya L
14MassMassgGroner, Maya L
15IdentificationIDGroner, Maya LTank
16IdentificationIDGroner, Maya LWater_source
17IdentificationIDGroner, Maya LTank_source
18TreatmentTreatGroner, Maya LLaby
19TreatmentTreatGroner, Maya LpH
20IdentificationIDGroner, Maya LTub
21IdentificationIDGroner, Maya LOriginating
22Number of leavesLeaves#Groner, Maya L
23Number of leavesLeaves#Groner, Maya LDiseased
24Disease severityDisease sevGroner, Maya L
25Disease severityDisease sevGroner, Maya LAve
26PrevalencePrevalenceGroner, Maya L
27TanninTannin%Groner, Maya L
28TanninTannin%Groner, Maya LAve
29PhenolicPhenolic%Groner, Maya L
30PhenolicPhenolic%Groner, Maya LAve
31Pathogen loadPathogen loadGroner, Maya L
32Pathogen loadPathogen loadGroner, Maya LAve
33SalinitySalGroner, Maya L
34Salinity, standard deviationSal std dev±Groner, Maya L
35Temperature, waterTemp°CGroner, Maya L
36Temperature, water, standard deviationTemp std dev±Groner, Maya L
37Alkalinity, totalATµmol/kgGroner, Maya LPotentiometric titration
38Alkalinity, total, standard deviationAT std dev±Groner, Maya LPotentiometric titration
39pHpHGroner, Maya LSpectrophotometrictotal scale
40pH, standard deviationpH std dev±Groner, Maya LSpectrophotometrictotal scale
41Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmGroner, Maya LCalculated using CO2SYS
42Partial pressure of carbon dioxide, standard deviationpCO2 std dev±Groner, Maya LCalculated using CO2SYS
43Carbonate ion[CO3]2-µmol/kgGroner, Maya LCalculated using CO2SYS
44Carbonate ion, standard deviation[CO3]2- std dev±Groner, Maya LCalculated using CO2SYS
45Calcite saturation stateOmega CalGroner, Maya LCalculated using CO2SYS
46Calcite saturation state, standard deviationOmega Cal std dev±Groner, Maya LCalculated using CO2SYS
47Aragonite saturation stateOmega ArgGroner, Maya LCalculated using CO2SYS
48Aragonite saturation state, standard deviationOmega Arg std dev±Groner, Maya LCalculated using CO2SYS
49Carbonate system computation flagCSC flagYang, YanCalculated using seacarb after Nisumaa et al. (2010)
50Carbon dioxideCO2µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
51Fugacity of carbon dioxide (water) at sea surface temperature (wet air)fCO2water_SST_wetµatmYang, YanCalculated using seacarb after Nisumaa et al. (2010)
52Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmYang, YanCalculated using seacarb after Nisumaa et al. (2010)
53Bicarbonate ion[HCO3]-µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
54Carbonate ion[CO3]2-µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
55Carbon, inorganic, dissolvedDICµmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
56Aragonite saturation stateOmega ArgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
57Calcite saturation stateOmega CalYang, YanCalculated using seacarb after Nisumaa et al. (2010)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
4984 data points

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